Exploring new links between crystal plasticity models and high-energy X-ray diffraction microscopy
Introduction
The link between experimental characterization and performance modeling in materials science and engineering is an enduring tenet that remains as strong today as ever before, including for the field of crystal plasticity. At its origin, crystal plasticity emerged due to a lack of theory to explain observed experimental phenomena. The theory of the dislocation as a facilitator of plasticity in 1934 resulted from painstaking mechanical testing and characterization of single crystals [1], [2], [3], [4], [5]. Since that time, crystal plasticity models have evolved in conjunction with advances in mechanical testing and materials characterization capabilities, as well as access to constantly improving computational resources. Today, a variety of sophisticated computational tools have been developed to predict the anisotropic elastic and plastic deformation of crystalline materials subjected to a multitude of mechanical and thermal stimuli (for a detailed review of the field, please see [6], [7], [8], [9] and the references therein).
Despite decades of maturation, a lack of experimental validation studies that capture the salient details of deformation at the corresponding length scales has impeded implementation of crystal plasticity models into modern engineering workflows [10], [11]. In particular, mesoscale experiments capable of characterizing and tracking the behavior of individual grains within 3D polycrystalline ensembles are critically needed in order to provide insight into the influence of local boundary conditions on the micro-mechanical response [12], [13]. Additionally, there are many details to consider that drive the behavior of a specific material: anisotropic elasticity, operating plastic deformation mechanisms (e.g. dislocation glide on particular slip system(s), deformation twinning), presence of secondary phases and/or voids, etc. Further complicating modeling efforts is the fact that the material also evolves during plastic deformation, leading to, for example, lattice reorientation and slip system hardening. In short, accurate prediction of crystal-scale deformation represents an enormously challenging problem area that requires targeted experimental capabilities which evolve hand in hand with a model.
Recently, synchrotron X-ray techniques known alternatively as three-dimensional X-ray diffraction (3DXRD) or high-energy diffraction microscopy (HEDM; we will use this terminology throughout for consistency) have matured to the level that they are establishing a standard from which to guide modeling efforts. These tools provide the exact mesoscale, multi-modal in situ characterization data that is needed for direct comparison with crystal plasticity simulations, thus providing an opportunity to test the predictive capabilities of a model and either gain confidence in its performance or identify aspects where further improvements are needed. This link between HEDM and crystal plasticity modeling, in particular for metallic materials, will be the subject of the remainder of this manuscript.
Section snippets
Brief background on HEDM methods
The suite of techniques known as HEDM are based upon the rotating crystal method and utilize a high-energy (≥30 keV) monochromatic synchrotron X-ray beam to non-destructively probe the microstructure and mechanical state of polycrystalline materials [14], [15], [16]. Diffracted beams from individual grains are measured on an area detector while rotating a crystalline sample in a transmission geometry. The high-energy beam penetrates through the sample (typically ~1 mm thickness) as well as
Grain-average elastic strains/stresses
Previous experimental and modeling studies at the aggregate scale have demonstrated significant heterogeneity in the behavior of sub-populations of grains as a function of crystal orientation [45], [46], [47]. The FF-HEDM technique allows for the characterization of full elastic strain tensors from individual grains (stress tensors are subsequently calculated using Hooke’s law), enabling more detailed mesoscale elastic strain state comparisons.
Evolution of crystallographic orientations
Plastic activity in metals accommodated by dislocation motion is well known to promote changes in the distribution of crystallographic orientations of the deforming material, inducing evolution of both grain-average orientations as well as intragranular misorientations [67]. Development of macroscale texture and sub-grain orientation gradients has major implications on local mechanical behavior and should be accounted for in crystal plasticity modeling. These phenomena may be tracked through
Deformation mechanisms
As experimental HEDM capabilities have matured, access to increasingly informative characterization data is providing new insights into a variety of deformation mechanisms. For example, a number of studies have explored deformation twinning in hexagonal materials, providing insight into various aspects of the phenomenon [81], [82], [83], [84]. Bucsek revealed detailed deformation and phase transformation mechanisms accompanying the behavior of nickel-titanium shape memory alloys subjected to
Considerations for quantitative experiment-simulation comparisons
The major theme of the present paper is to describe the interplay between HEDM experiments and crystal plasticity model development efforts. Direct, quantitative comparisons of experimentally-measured and simulated quantities have great potential for assessing model performance and improving predictive capabilities. Yet, there are many considerations that a practitioner must account for in order to ensure a meaningful and robust outcome from such an effort.
Outlook
Modeling the deformation of a three-dimensional assembly of anisotropic crystals of various orientations, shapes, and sizes subjected to a variety of boundary conditions represents an immense challenge. While the community has built a variety of tools to address this problem, assessment of their performance and accuracy has remained a challenge that to date has limited their implementation into engineering workflows. Access to appropriate experimental data to validate and provide insight is
Acknowledgements
The authors are grateful for many useful conversations with colleagues and friends. PS, WM, MO, and TT acknowledge support from the Materials and Manufacturing Directorate of the U.S. Air Force Research Laboratory and the Air Force Office of Scientific Research (program manager Jay Tiley). AB received support through Air Force contract FA8650-14-D-5205/0001.
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2022, Journal of Nuclear MaterialsCitation Excerpt :The technique has seen a rapid development over the past decade, motivated by its unprecedented power to reveal grain-level microstructural responses to external stimuli, such as mechanical loading, high temperatures, and irradiation [27,28]. It also provides direct input to constitutive models for validation or further development [29]. The principle, experimental setup, and data processing of HEDM have been elaborated in a number of recent reviews [30–32].